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SupportVectorMachine.h
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SupportVectorMachine.h
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#ifndef SUPPORT_VECTOR_MACHINE_H
#define SUPPORT_VECTOR_MACHINE_H
#include "Common.h"
#include "Feature.h"
#include "ImageDatabase.h"
class SupportVectorMachine
{
private:
struct svm_model* _model;
svm_node* _data; // Have to keep this around if we want to save the model after training
CShape _fVecShape; // Shape of feature vector
private:
// De allocate memory
void deinit();
public:
SupportVectorMachine();
// Loads SVM model from file with name modelFName
SupportVectorMachine(const char* modelFName);
~SupportVectorMachine();
void train(const std::vector<float>& labels, const FeatureSet& fset, double C = 0.01);
// Run classifier on feature, size of feature must match one used for
// model training
float predict(const Feature& feature) const;
std::vector<float> predict(const FeatureSet& fset) const;
// Get SVM weights in the shape of the original features
Feature getWeights() const;
double getBiasTerm() const;
// Runs classifier at every location of feature feat, returns a
// single channel image with classifier output at each location.
CFloatImage predictSlidingWindow(const Feature& feat) const;
// Loading and saving model to file
void load(const char* filename);
void load(FILE* fp);
void save(const char* filename) const;
void save(FILE* fp) const;
};
#endif